Fig. 1.

Principle of registration-based label propagation methods. The input data (shown with green borders) are an anatomy textbook (i.e. a set of N anatomical images with the corresponding label maps), and one anatomical image I. The set of anatomical images of the textbook is (non-linearly) registered to the input image I, and each label map is deformed with respect to the estimated transformation H_i. The final image segmentation (shown with red borders) is then obtained by fusing all the deformed label maps (shown with blue borders).